FM / numpy

/opt/cloudlinux/venv/lib/python3.11/site-packages/numpy/

/opt/cloudlinux/venv/lib/python3.11/site-packages/numpy

Name	Size	Mode	Actions
array_api/	-	0755	rm
compat/	-	0755	rm
core/	-	0755	rm
distutils/	-	0755	rm
doc/	-	0755	rm
f2py/	-	0755	rm
fft/	-	0755	rm
lib/	-	0755	rm
linalg/	-	0755	rm
ma/	-	0755	rm
matrixlib/	-	0755	rm
polynomial/	-	0755	rm
random/	-	0755	rm
testing/	-	0755	rm
tests/	-	0755	rm
typing/	-	0755	rm
_pyinstaller/	-	0755	rm
_typing/	-	0755	rm
__pycache__/	-	0755	rm
conftest.py	4528	0644	edit dl rm
ctypeslib.py	17460	0644	edit dl rm
ctypeslib.pyi	7962	0644	edit dl rm
dual.py	2214	0644	edit dl rm
LICENSE.txt	2179	0644	edit dl rm
matlib.py	10465	0644	edit dl rm
py.typed	0	0644	edit dl rm
setup.py	1101	0644	edit dl rm
version.py	475	0644	edit dl rm
_distributor_init.py	331	0644	edit dl rm
_globals.py	3885	0644	edit dl rm
_pytesttester.py	6668	0644	edit dl rm
_pytesttester.pyi	489	0644	edit dl rm
_version.py	498	0644	edit dl rm
__config__.py	5155	0644	edit dl rm
__init__.cython-30.pxd	36216	0644	edit dl rm
__init__.pxd	34584	0644	edit dl rm
__init__.py	16174	0644	edit dl rm
__init__.pyi	151166	0644	edit dl rm

Edit: /opt/cloudlinux/venv/lib/python3.11/site-packages/numpy/dual.py (2214B)

"""
.. deprecated:: 1.20

*This module is deprecated.  Instead of importing functions from*
``numpy.dual``, *the functions should be imported directly from NumPy
or SciPy*.

Aliases for functions which may be accelerated by SciPy.

SciPy_ can be built to use accelerated or otherwise improved libraries
for FFTs, linear algebra, and special functions. This module allows
developers to transparently support these accelerated functions when
SciPy is available but still support users who have only installed
NumPy.

.. _SciPy : https://www.scipy.org

"""
import warnings

warnings.warn('The module numpy.dual is deprecated.  Instead of using dual, '
              'use the functions directly from numpy or scipy.',
              category=DeprecationWarning,
              stacklevel=2)

# This module should be used for functions both in numpy and scipy if
#  you want to use the numpy version if available but the scipy version
#  otherwise.
#  Usage  --- from numpy.dual import fft, inv

__all__ = ['fft', 'ifft', 'fftn', 'ifftn', 'fft2', 'ifft2',
           'norm', 'inv', 'svd', 'solve', 'det', 'eig', 'eigvals',
           'eigh', 'eigvalsh', 'lstsq', 'pinv', 'cholesky', 'i0']

import numpy.linalg as linpkg
import numpy.fft as fftpkg
from numpy.lib import i0
import sys

fft = fftpkg.fft
ifft = fftpkg.ifft
fftn = fftpkg.fftn
ifftn = fftpkg.ifftn
fft2 = fftpkg.fft2
ifft2 = fftpkg.ifft2

norm = linpkg.norm
inv = linpkg.inv
svd = linpkg.svd
solve = linpkg.solve
det = linpkg.det
eig = linpkg.eig
eigvals = linpkg.eigvals
eigh = linpkg.eigh
eigvalsh = linpkg.eigvalsh
lstsq = linpkg.lstsq
pinv = linpkg.pinv
cholesky = linpkg.cholesky

_restore_dict = {}

def register_func(name, func):
    if name not in __all__:
        raise ValueError("{} not a dual function.".format(name))
    f = sys._getframe(0).f_globals
    _restore_dict[name] = f[name]
    f[name] = func

def restore_func(name):
    if name not in __all__:
        raise ValueError("{} not a dual function.".format(name))
    try:
        val = _restore_dict[name]
    except KeyError:
        return
    else:
        sys._getframe(0).f_globals[name] = val

def restore_all():
    for name in _restore_dict.keys():
        restore_func(name)

cmd: